Automatic token optimization for Claude Code and MCP workflows, including structured data and source code compression.
{
"mcpServers": {
"toonify-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Automatic token optimization for Claude Code and MCP workflows, including structured data and source code compression.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 4 days ago. 49 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Toonify MCP is an MCP server and Claude Code plugin for automatic token optimization in structured data and source-code workflows.
It is designed for teams that regularly send large JSON / CSV / YAML payloads or TypeScript / Python / Go source files into model context and want lower token usage without changing day-to-day workflow.
✨ Pipeline Architecture + Code Compression!
Compressor interfaceInstall directly from the GitHub repository (no npm publish required):
# 1. Download the repository
git clone https://github.com/PCIRCLE-AI/toonify-mcp.git
cd toonify-mcp
# 2. Install deps and build
npm install
npm run build
# 3. Install globally from local source
npm install -g .
One-click installation through Claude Marketplaces:
Browse to Claude Marketplaces in Claude Code and install toonify-mcp with one click when marketplace distribution is available for your environment.
Automatic token optimization with zero manual calls:
Prerequisite: complete Option A or Option B so the toonify-mcp binary is available.
# 1. Add as plugin (automatic mode)
claude plugin add toonify-mcp
# 2. Verify installation
claude plugin list
# Should show: toonify-mcp ✓
That's it! The PostToolUse hook will now automatically intercept and optimize structured data from Read, Grep, and other file tools.
For explicit control or non-Claude Code MCP clients:
Prerequisite: complete Option A or Option B so the toonify-mcp binary is available.
# 1. Register as MCP server
claude mcp add toonify -- toonify-mcp
# 2. Verify
claude mcp list
# Should show: toonify: toonify-mcp - ✓ Connected
Then call tools explicitly:
claude mcp call toonify optimize_content '{"content": "..."}'
claude mcp call toonify get_stats '{}'
... [View full README on GitHub](https://github.com/PCIRCLE-AI/toonify-mcp#readme)